"I would highly recommend this program to anyone wishing to gain a strong foundation in GIS and data, even those individuals not directly involved in the population health field. All of the courses force the student to think critically, develop time management skills, become effective data organizers, and learn to work in a virtual team towards a common goal within very tight parameters. I found all staff related to the various components of the program very knowledgeable and considerate."
"I would recommend the program to working professionals, researchers, and graduate students.
The program had many strengths including: excellent, experienced instructors for each of the courses; use of fellow students as peers to give feedback on assignments (this was a particular strength of the PHDA06 course in Health Evaluation and Program Monitoring); and discussion forums that promoted exchange of information amongst students using real life examples".
"The labs and the access to the SRTL were the biggest strengths of these courses. The SRTL had all the software, and all the data, and was really easy to access, and was well maintained and organized. The labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRLT. The labs were very smooth and impactful."
"The skills learned in this programme are highly and directly relevant to my doctoral research, and are being used on a near-daily basis. For example, I use both SAS and GIS to analyse various administrative data sets, and have found that the statistical background gleaned from this programmes has enabled me to read more critically and use more sophisticated analyses in my own work.
The diversity of courses is an immediate strength, as is the online format. Every instructor was highly engaged and enthusiastic, and was happy to have discussions about course material and further topics via e-mail."
Prior to coming to Canada, I had worked in the area of math and statistics. When I moved to Canada I pursued work in Data Management and then became particularly interested in the field of data analytics for health services. As a result, I searched online for a related program in this area and found information on the PHDA program. I had taken previous training courses in business and data analytics so the PHDA program seemed like a perfect way to expand my knowledge and skills within the field of population health.
The Working with Administrative Data (PHDA 01) course was a perfect course for me. It gave me a good introduction to the field of Population Health and provided a good refresher for my SAS skills.
The Epidemiological Statistics (PHDA 02) course was a fair bit of review for me as I have a strong statistical background. As a result, the health specific focus of the course and related terminology provided the greatest value to me.
The Population Health and GIS (PHDA 03) course was the most interesting but also the hardest course I took due to the project work and data management skills that were involved.
As I am now working in the healthcare field, I feel the health terminology and related analytic work I completed in the program have been helpful in my current workplace. In particular, I am using some of these skills in my reporting projects. Within the next couple of years I also expect that my work will be incorporating more geospatial skills so the foundation skills I have learned in this area will also be beneficial.
I feel this is a very unique program that combines the use of data analytics, statistical software and focused learning objectives related to the field of health. I also appreciated the fact that it was a fully online program with well-organized lectures, readings and remotely accessed lab work in health data analytics.
Yes, I would definitely recommend the program to others.
Overall the program was very helpful to my knowledge and skill development in the field of healthcare analytics. The program exceeded my expectations particularly because of the remotely accessed data analytic lab work that was more challenging than I anticipated. This work was very practical and very much oriented to real life case examples. The calibre of students in my courses was also very high as most were working professionals who brought valuable experience and knowledge to the discussion forums and project work.
University of British Columbia, 201-2206 East Mall, Vancouver BC V6T 1Z3
Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
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